Review research questions to determine the most appropriate method of analysis. If either method will effectively address the research questions, select the method of preference. For example, consider a research study that investigates the nature and frequency of teacher/student interactions in the classroom. This topic can be effectively investigated by either research method.
Determine how to quantify the qualitative variable of "nature of interactions." This can be accomplished by assigning interactions to categories. For instance, categories may include: teacher initiated, student initiated, instructional and non-instructional. Differentiate categories by assigning numbers to the categories. Data categorized can be easily analyzed quantitatively. On the other hand, these same categories can be used to analyze the data qualitatively, as the researcher notes developing themes and patterns in the data set.
Determine how to analyze the quantitative variable of "frequency of interactions." Frequency is often reported numerically and is, therefore, easily analyzed quantitatively. However, analyzing frequency qualitatively can be achieved by reviewing the data and looking for developing themes and patterns. For instance, based upon the frequencies of teacher-initiated interactions or student-initiated interactions, the researcher may be able to make some reasonable inferences that provide answers to research questions.
Use the results of the quantitative and qualitative analyses in conjunction with each other to answer research questions. The quantitative analysis provides an objective perspective to your answers. The qualitative analysis may include other subjective factors that can be very valuable in addressing the research questions. Using both types of research in one design yields an interesting perspective that is supported by objective data and researcher insights.